Nearest cluster center decision in hierarchical classification process

Abstract : The hierarchical classification method based on SVM multi learning process has proved its abilities to classify large databases. However, some misclassification can be detected through the hierarchy levels. To minimize these errors and improving the rate of classification, we propose to use Nearest Cluster centers (NCC) in the hierarchy structure to correct the classification ambiguities. Obtained results on IRIS database prove the given improvement of global classification rate.
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Conference papers
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https://hal.archives-ouvertes.fr/hal-01777619
Contributor : Frédéric Davesne <>
Submitted on : Tuesday, April 24, 2018 - 11:37:41 PM
Last modification on : Monday, October 28, 2019 - 10:50:22 AM

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Khalifa Djemal, Hichem Maaref. Nearest cluster center decision in hierarchical classification process. 2014 Information and Communication Technologies Innovation and Application (ICTIA 2014), Mar 2014, Sousse, Tunisia. ⟨10.1109/ICTIA.2014.7883767⟩. ⟨hal-01777619⟩

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